{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Fabio Franchino\Dropbox\Project EU Fiscal Policy\2 Policy positions\Sent to EUP\second submission\final submission\Replication\Replication\log_gsem_FC2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 8 Apr 2021, 18:08:24
{txt}
{com}. 
. ***** Replication code for Franchino, Fabio, and Camilla Mariotto. “Noncompliance Risk, Asymmetric Power and the Design of Enforcement of the European Economic Governance”. European Union Politics.
. 
. version 15
{txt}
{com}. pause on
{txt}
{com}. use conflict_data_FC2.dta, clear
{txt}
{com}. 
. ***** Table 1: Governmental positions on national discretion and enforcement mechanisms
. * Generalized structural equation model: Three-levels, Random intercepts
. gsem (discr_com <- c.debt_gdp c.nbi c.nbi#c.debt_gdp i.eurozone i.crisis@0 i.cou_pres c.gov_lr c.gov_eu c.goodEU_net_6 i.comm_s M1[act] M2[act>issue_id], ologit ) ///
>          (discr_cou <- c.debt_gdp c.nbi c.nbi#c.debt_gdp i.eurozone i.crisis@0 i.cou_pres c.gov_lr c.gov_eu c.goodEU_net_6 i.comm_s M1[act] M2[act>issue_id], ologit ) ///
>      (discr_nat <- c.debt_gdp                        i.eurozone i.crisis   i.cou_pres c.gov_lr c.gov_eu c.goodEU_net_6 i.comm_s M1[act] M2[act>issue_id], ologit ), vce(robust) nolog
{res}
{txt}Generalized structural equation model{col 49}Number of obs{col 67}= {res}       439

{txt}Response{col 16}: {res}discr_com{txt}{col 49}Number of obs{col 67}= {res}       142
{txt}Family{col 16}: {res}ordinal
{txt}Link{col 16}: {res}logit

{txt}Response{col 16}: {res}discr_cou{txt}{col 49}Number of obs{col 67}= {res}       180
{txt}Family{col 16}: {res}ordinal
{txt}Link{col 16}: {res}logit

{txt}Response{col 16}: {res}discr_nat{txt}{col 49}Number of obs{col 67}= {res}       117
{txt}Family{col 16}: {res}ordinal
{txt}Link{col 16}: {res}logit

{txt}Log pseudolikelihood = {res}   -305.57

{p 0 7}{space 1}{text:( 1)}{space 1} [discr_com]1.crisis = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [discr_com]M1[act] = 1{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [discr_com]M2[act>issue_id] = 1{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} [discr_cou]1.crisis = 0{p_end}
{txt}{ralign 87:(Std. Err. adjusted for {res:7} clusters in act)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}discr_com             {txt}{c |}
{space 13}debt_gdp {c |}{col 23}{res}{space 2}-.1556291{col 35}{space 2} .0674742{col 46}{space 1}   -2.31{col 55}{space 3}0.021{col 63}{space 4}-.2878761{col 76}{space 3}-.0233821
{txt}{space 18}nbi {c |}{col 23}{res}{space 2}-.8259571{col 35}{space 2} .4385845{col 46}{space 1}   -1.88{col 55}{space 3}0.060{col 63}{space 4}-1.685567{col 76}{space 3} .0336528
{txt}{space 21} {c |}
{space 5}c.nbi#c.debt_gdp {c |}{col 23}{res}{space 2} .0529235{col 35}{space 2} .0299376{col 46}{space 1}    1.77{col 55}{space 3}0.077{col 63}{space 4}-.0057531{col 76}{space 3}    .1116
{txt}{space 21} {c |}
{space 13}eurozone {c |}
{space 17}Yes  {c |}{col 23}{res}{space 2}-.8075109{col 35}{space 2} .6756446{col 46}{space 1}   -1.20{col 55}{space 3}0.232{col 63}{space 4} -2.13175{col 76}{space 3} .5167282
{txt}{space 13}1.crisis {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 21} {c |}
{space 13}cou_pres {c |}
{space 17}Yes  {c |}{col 23}{res}{space 2}-.8464765{col 35}{space 2} .4916857{col 46}{space 1}   -1.72{col 55}{space 3}0.085{col 63}{space 4}-1.810163{col 76}{space 3} .1172098
{txt}{space 15}gov_lr {c |}{col 23}{res}{space 2} .0150097{col 35}{space 2} .1625526{col 46}{space 1}    0.09{col 55}{space 3}0.926{col 63}{space 4}-.3035876{col 76}{space 3} .3336069
{txt}{space 15}gov_eu {c |}{col 23}{res}{space 2}-.3014435{col 35}{space 2} .1616547{col 46}{space 1}   -1.86{col 55}{space 3}0.062{col 63}{space 4}-.6182809{col 76}{space 3}  .015394
{txt}{space 9}goodEU_net_6 {c |}{col 23}{res}{space 2} 5.075773{col 35}{space 2} 1.028073{col 46}{space 1}    4.94{col 55}{space 3}0.000{col 63}{space 4} 3.060788{col 76}{space 3} 7.090759
{txt}{space 13}1.comm_s {c |}{col 23}{res}{space 2}-1.422712{col 35}{space 2} 2.271932{col 46}{space 1}   -0.63{col 55}{space 3}0.531{col 63}{space 4}-5.875617{col 76}{space 3} 3.030193
{txt}{space 21} {c |}
{space 14}M1[act] {c |}{col 23}{res}{space 2}        1{col 35}{txt}  (constrained)
{space 5}M2[act>issue_id] {c |}{col 23}{res}{space 2}        1{col 35}{txt}  (constrained)
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}discr_cou             {txt}{c |}
{space 13}debt_gdp {c |}{col 23}{res}{space 2}-.1294308{col 35}{space 2} .0557179{col 46}{space 1}   -2.32{col 55}{space 3}0.020{col 63}{space 4} -.238636{col 76}{space 3}-.0202257
{txt}{space 18}nbi {c |}{col 23}{res}{space 2}-.3230369{col 35}{space 2} .3163357{col 46}{space 1}   -1.02{col 55}{space 3}0.307{col 63}{space 4}-.9430435{col 76}{space 3} .2969697
{txt}{space 21} {c |}
{space 5}c.nbi#c.debt_gdp {c |}{col 23}{res}{space 2} .0811929{col 35}{space 2} .0328879{col 46}{space 1}    2.47{col 55}{space 3}0.014{col 63}{space 4} .0167338{col 76}{space 3}  .145652
{txt}{space 21} {c |}
{space 13}eurozone {c |}
{space 17}Yes  {c |}{col 23}{res}{space 2}-.9489904{col 35}{space 2} .4675074{col 46}{space 1}   -2.03{col 55}{space 3}0.042{col 63}{space 4}-1.865288{col 76}{space 3}-.0326927
{txt}{space 13}1.crisis {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 21} {c |}
{space 13}cou_pres {c |}
{space 17}Yes  {c |}{col 23}{res}{space 2}-.3788731{col 35}{space 2} .4854706{col 46}{space 1}   -0.78{col 55}{space 3}0.435{col 63}{space 4}-1.330378{col 76}{space 3} .5726318
{txt}{space 15}gov_lr {c |}{col 23}{res}{space 2}-.1921329{col 35}{space 2} .0562454{col 46}{space 1}   -3.42{col 55}{space 3}0.001{col 63}{space 4}-.3023719{col 76}{space 3} -.081894
{txt}{space 15}gov_eu {c |}{col 23}{res}{space 2}-.1363199{col 35}{space 2} .2045422{col 46}{space 1}   -0.67{col 55}{space 3}0.505{col 63}{space 4}-.5372153{col 76}{space 3} .2645755
{txt}{space 9}goodEU_net_6 {c |}{col 23}{res}{space 2}  .653869{col 35}{space 2} .6905763{col 46}{space 1}    0.95{col 55}{space 3}0.344{col 63}{space 4}-.6996357{col 76}{space 3} 2.007374
{txt}{space 13}1.comm_s {c |}{col 23}{res}{space 2} .8938948{col 35}{space 2} .7477732{col 46}{space 1}    1.20{col 55}{space 3}0.232{col 63}{space 4}-.5717138{col 76}{space 3} 2.359503
{txt}{space 21} {c |}
{space 14}M1[act] {c |}{col 23}{res}{space 2} .4835722{col 35}{space 2}  .183136{col 46}{space 1}    2.64{col 55}{space 3}0.008{col 63}{space 4} .1246321{col 76}{space 3} .8425122
{txt}{space 5}M2[act>issue_id] {c |}{col 23}{res}{space 2} 1.127968{col 35}{space 2} .4116206{col 46}{space 1}    2.74{col 55}{space 3}0.006{col 63}{space 4} .3212069{col 76}{space 3}  1.93473
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}discr_nat             {txt}{c |}
{space 13}debt_gdp {c |}{col 23}{res}{space 2} .2934613{col 35}{space 2} .0353964{col 46}{space 1}    8.29{col 55}{space 3}0.000{col 63}{space 4} .2240856{col 76}{space 3} .3628371
{txt}{space 21} {c |}
{space 13}eurozone {c |}
{space 17}Yes  {c |}{col 23}{res}{space 2}-1.189615{col 35}{space 2} .4847724{col 46}{space 1}   -2.45{col 55}{space 3}0.014{col 63}{space 4}-2.139751{col 76}{space 3}-.2394783
{txt}{space 13}1.crisis {c |}{col 23}{res}{space 2}-1.064174{col 35}{space 2} 1.709311{col 46}{space 1}   -0.62{col 55}{space 3}0.534{col 63}{space 4}-4.414362{col 76}{space 3} 2.286014
{txt}{space 21} {c |}
{space 13}cou_pres {c |}
{space 17}Yes  {c |}{col 23}{res}{space 2}-.9466426{col 35}{space 2} .1333239{col 46}{space 1}   -7.10{col 55}{space 3}0.000{col 63}{space 4}-1.207953{col 76}{space 3}-.6853326
{txt}{space 15}gov_lr {c |}{col 23}{res}{space 2}-.3759258{col 35}{space 2} .1159122{col 46}{space 1}   -3.24{col 55}{space 3}0.001{col 63}{space 4}-.6031095{col 76}{space 3} -.148742
{txt}{space 15}gov_eu {c |}{col 23}{res}{space 2} .4182855{col 35}{space 2} .0817635{col 46}{space 1}    5.12{col 55}{space 3}0.000{col 63}{space 4} .2580319{col 76}{space 3}  .578539
{txt}{space 9}goodEU_net_6 {c |}{col 23}{res}{space 2} 1.530762{col 35}{space 2} .5305108{col 46}{space 1}    2.89{col 55}{space 3}0.004{col 63}{space 4} .4909798{col 76}{space 3} 2.570544
{txt}{space 13}1.comm_s {c |}{col 23}{res}{space 2} 2.092813{col 35}{space 2} 1.726645{col 46}{space 1}    1.21{col 55}{space 3}0.225{col 63}{space 4} -1.29135{col 76}{space 3} 5.476975
{txt}{space 21} {c |}
{space 14}M1[act] {c |}{col 23}{res}{space 2} .4019167{col 35}{space 2} .0997149{col 46}{space 1}    4.03{col 55}{space 3}0.000{col 63}{space 4}  .206479{col 76}{space 3} .5973544
{txt}{space 5}M2[act>issue_id] {c |}{col 23}{res}{space 2} 1.084137{col 35}{space 2} .2052247{col 46}{space 1}    5.28{col 55}{space 3}0.000{col 63}{space 4} .6819035{col 76}{space 3}  1.48637
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}/discr_com            {txt}{c |}
{space 17}cut1 {c |}{col 23}{res}{space 2}-3.912939{col 35}{space 2} 2.946872{col 63}{space 4}-9.688703{col 76}{space 3} 1.862825
{txt}{space 17}cut2 {c |}{col 23}{res}{space 2}-3.855596{col 35}{space 2} 2.899289{col 63}{space 4}-9.538098{col 76}{space 3} 1.826906
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}/discr_cou            {txt}{c |}
{space 17}cut1 {c |}{col 23}{res}{space 2}-2.907539{col 35}{space 2} 1.026076{col 63}{space 4}-4.918611{col 76}{space 3}-.8964671
{txt}{space 17}cut2 {c |}{col 23}{res}{space 2}  .285208{col 35}{space 2}  .898823{col 63}{space 4}-1.476453{col 76}{space 3} 2.046869
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}/discr_nat            {txt}{c |}
{space 17}cut1 {c |}{col 23}{res}{space 2}-.1422654{col 35}{space 2} 2.031398{col 63}{space 4}-4.123732{col 76}{space 3} 3.839201
{txt}{space 17}cut2 {c |}{col 23}{res}{space 2} 1.680279{col 35}{space 2} 1.287162{col 63}{space 4}-.8425125{col 76}{space 3}  4.20307
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}var(M1[act]){c |}{col 23}{res}{space 2} 3.726285{col 35}{space 2} 3.427597{col 63}{space 4} .6141923{col 76}{space 3} 22.60725
{txt}{space 1}var(M2[act>issue_id]){c |}{col 23}{res}{space 2}   .80875{col 35}{space 2} .1402457{col 63}{space 4} .5757143{col 76}{space 3} 1.136113
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. ***** Table A2: Descriptive statistics
. drop if e(sample)!=1 /* drop deleted observations */
{txt}(31 observations deleted)

{com}. 
. summarize discr_nat discr_cou discr_com c.debt_gdp c.nbi i.eurozone i.crisis i.cou_pres c.gov_lr c.gov_eu c.goodEU_net_6 i.comm_s if e(sample)==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}discr_nat {c |}{res}        117    2.145299    .8536429          1          3
{txt}{space 3}discr_cou {c |}{res}        180    1.911111    .7034543          1          3
{txt}{space 3}discr_com {c |}{res}        142    1.838028    .9867011          1          3
{txt}{space 4}debt_gdp {c |}{res}        439    6.523472    3.451262        .45      17.21
{txt}{space 9}nbi {c |}{res}        439     4.35949    2.924314       .942     13.044
{txt}{space 12} {c |}
{space 4}eurozone {c |}
{space 8}Yes  {c |}{res}        439    .6104784    .4881982          0          1
{txt}{space 4}1.crisis {c |}{res}        439    .7835991    .4122605          0          1
{txt}{hline 13}{c +}{hline 57}
{space 12} {c |}
{space 4}cou_pres {c |}
{space 8}Yes  {c |}{res}        439    .0728929    .2602573          0          1
{txt}{space 6}gov_lr {c |}{res}        439    5.715955    1.581962   .3134426       8.56
{txt}{space 6}gov_eu {c |}{res}        439    5.616607    1.184268   .4902459          7
{txt}goodEU_net_6 {c |}{res}        439    .2952565    .2103871  -.2641509   .8007968
{txt}{hline 13}{c +}{hline 57}
{space 4}1.comm_s {c |}{res}        439    .5079727    .5005068          0          1
{txt}
{com}. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. ***** Substantive effects: National Discretion
. ** Effects of higher noncompliance risk (debt_gdp)
. margins, atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5846155{col 26}{space 2} .1432918{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .3037687{col 67}{space 3} .8654623
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0081497{col 26}{space 2} .0076161{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.0067775{col 67}{space 3} .0230769
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4072348{col 26}{space 2} .1451403{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .1227651{col 67}{space 3} .6917044
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3005174{col 26}{space 2} .1164471{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0722852{col 67}{space 3} .5287495
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5241604{col 26}{space 2} .1474492{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .2351652{col 67}{space 3} .8131555
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1753223{col 26}{space 2}  .094422{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0097415{col 67}{space 3} .3603861
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1558587{col 26}{space 2} .0604907{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0372991{col 67}{space 3} .2744183
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2830136{col 26}{space 2} .1683604{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0469667{col 67}{space 3} .6129939
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5611277{col 26}{space 2} .1378466{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .2909533{col 67}{space 3} .8313021
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_nat = less , middle, more is 16%, 28%, 56% given that all predictors are set at their mean values.
. 
. margins, at(debt_gdp=9.974) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 6}9.974}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5473459{col 26}{space 2} .1603869{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .2329934{col 67}{space 3} .8616984
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0083013{col 26}{space 2} .0079776{col 37}{space 1}    1.04{col 46}{space 3}0.298{col 54}{space 4}-.0073345{col 67}{space 3} .0239371
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4443528{col 26}{space 2} .1602278{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .1303122{col 67}{space 3} .7583935
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1915484{col 26}{space 2} .1041051{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0124939{col 67}{space 3} .3955907
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5293088{col 26}{space 2} .1490563{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .2371639{col 67}{space 3} .8214537
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2791428{col 26}{space 2} .1229211{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0382218{col 67}{space 3} .5200637
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0719538{col 26}{space 2} .0269782{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0190775{col 67}{space 3} .1248302
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1905109{col 26}{space 2} .1365509{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4} -.077124{col 67}{space 3} .4581458
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7375353{col 26}{space 2} .1258195{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .4909336{col 67}{space 3} .9841369
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_nat = less , middle, more is 7%, 19%, 74% given that debt_gbp is at mean+s.d. and all other predictors are set at their mean values
. 
. * comparing of debt_gdp ratio for governments preferring less, middle or more discretion
. sort discr_nat
{txt}
{com}. by discr_nat : sum c.debt_gdp if e(sample)==1

{txt}{hline}
-> discr_nat = Less

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         35    5.908571    2.492997        .97      12.34

{txt}{hline}
-> discr_nat = Middle

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         30       5.994    3.086591        .61      12.34

{txt}{hline}
-> discr_nat = More

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         52    7.820669    3.829279        .61      17.21

{txt}{hline}
-> discr_nat = .

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}        322    6.430154    3.472066        .45      17.21

{txt}
{com}. 
. * comparing of debt_gdp ratio for Germany and Italy
. sort country
{txt}
{com}. by country : sum c.debt_gdp discr_nat if e(sample)==1

{txt}{hline}
-> country = Belgium

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         19    10.52105    .8446097       9.46      12.32
{txt}{space 3}discr_nat {c |}{res}          5         2.8    .4472136          2          3

{txt}{hline}
-> country = France

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         20      8.1125    1.078824       6.11       9.06
{txt}{space 3}discr_nat {c |}{res}          6    2.666667    .5163978          2          3

{txt}{hline}
-> country = Germany

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         20       7.483    .7885503       5.87       7.99
{txt}{space 3}discr_nat {c |}{res}          6    1.333333    .5163978          1          2

{txt}{hline}
-> country = Italy

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         20      11.636      .60081      10.19      12.34
{txt}{space 3}discr_nat {c |}{res}          6           2    .8944272          1          3

{txt}{hline}
-> country = Luxembourg

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         19    1.657895    .5540415        .75        2.2
{txt}{space 3}discr_nat {c |}{res}          5         2.4    .8944272          1          3

{txt}{hline}
-> country = Netherlands

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         20      6.2165    .4906845       4.93       6.62
{txt}{space 3}discr_nat {c |}{res}          6    1.833333    .9831921          1          3

{txt}{hline}
-> country = Denmark

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         16     4.84715    .8909999       3.74     6.5448
{txt}{space 3}discr_nat {c |}{res}          5           2           1          1          3

{txt}{hline}
-> country = Ireland

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         17    9.251765    3.172929       2.61      11.99
{txt}{space 3}discr_nat {c |}{res}          4           3           0          3          3

{txt}{hline}
-> country = United Kingdom

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         16    6.996875    1.926793       4.01       8.41
{txt}{space 3}discr_nat {c |}{res}          4        2.75          .5          2          3

{txt}{hline}
-> country = Greece

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         17    15.02059    3.196479       9.95      17.21
{txt}{space 3}discr_nat {c |}{res}          4           3           0          3          3

{txt}{hline}
-> country = Portugal

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         19    10.10105    2.600491       5.52      12.62
{txt}{space 3}discr_nat {c |}{res}          5         2.8    .4472136          2          3

{txt}{hline}
-> country = Spain

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         19    6.924211    1.203284       4.23       8.57
{txt}{space 3}discr_nat {c |}{res}          5         2.4    .8944272          1          3

{txt}{hline}
-> country = Austria

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         20      7.8115    .7681918       6.32       8.26
{txt}{space 3}discr_nat {c |}{res}          6    2.333333    1.032796          1          3

{txt}{hline}
-> country = Finland

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         19    4.932632     .400858          4       5.39
{txt}{space 3}discr_nat {c |}{res}          6           2    .8944272          1          3

{txt}{hline}
-> country = Sweden

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         17    4.438235    1.180298       3.75       6.79
{txt}{space 3}discr_nat {c |}{res}          5         2.2      .83666          1          3

{txt}{hline}
-> country = Cyprus

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         14    6.698571    .5622052       6.28       8.01
{txt}{space 3}discr_nat {c |}{res}          3    2.666667    .5773503          2          3

{txt}{hline}
-> country = Czech Republic

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         14    3.979286    .5469702        2.8       4.45
{txt}{space 3}discr_nat {c |}{res}          4        1.25          .5          1          2

{txt}{hline}
-> country = Estonia

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         16         .68    .1809604        .45        .97
{txt}{space 3}discr_nat {c |}{res}          4           2    .8164966          1          3

{txt}{hline}
-> country = Hungary

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         13    7.688462    .7348452       6.05       8.07
{txt}{space 3}discr_nat {c |}{res}          3    1.333333    .5773503          1          2

{txt}{hline}
-> country = Latvia

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         12    3.721667     1.19393       1.17       4.28
{txt}{space 3}discr_nat {c |}{res}          3           2           1          1          3

{txt}{hline}
-> country = Lithuania

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         11    3.410909    .8226476       1.76       3.98
{txt}{space 3}discr_nat {c |}{res}          2         1.5    .7071068          1          2

{txt}{hline}
-> country = Malta

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         16     6.94375    .1036581       6.77       7.01
{txt}{space 3}discr_nat {c |}{res}          4        1.75    .9574271          1          3

{txt}{hline}
-> country = Poland

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         13    5.279231    .2842963       4.64       5.41
{txt}{space 3}discr_nat {c |}{res}          3    1.666667    .5773503          1          2

{txt}{hline}
-> country = Slovakia

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         15       4.412    .5334684       3.41       5.22
{txt}{space 3}discr_nat {c |}{res}          3           2           1          1          3

{txt}{hline}
-> country = Slovenia

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         15    4.533333    .8261932       2.63       5.38
{txt}{space 3}discr_nat {c |}{res}          4         1.5           1          1          3

{txt}{hline}
-> country = Bulgaria

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         11    1.574545    .0756787       1.52       1.67
{txt}{space 3}discr_nat {c |}{res}          3           2           1          1          3

{txt}{hline}
-> country = Romania

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         11    3.518182    .1362217       3.42       3.69
{txt}{space 3}discr_nat {c |}{res}          3           2           1          1          3

{txt}
{com}. * Germany
. sum debt_gdp if e(sample)==1 & country==3

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         20       7.483    .7885503       5.87       7.99
{txt}
{com}. * Italy
. sum debt_gdp if e(sample)==1 & country==4

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         20      11.636      .60081      10.19      12.34
{txt}
{com}. sort issue_id
{txt}
{com}. list country discr_nat issue_id if country==4 | country==3 | country==2
{txt}
     {c TLC}{hline 9}{c -}{hline 10}{c -}{hline 10}{c TRC}
     {c |} {res}country   discr_~t   issue_id {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
  2. {c |} {res}  Italy          .          1 {txt}{c |}
  3. {c |} {res} France          .          1 {txt}{c |}
  8. {c |} {res}Germany          .          1 {txt}{c |}
 27. {c |} {res}  Italy          .          3 {txt}{c |}
 37. {c |} {res}Germany          .          3 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
 40. {c |} {res} France          .          3 {txt}{c |}
 54. {c |} {res}Germany          .          4 {txt}{c |}
 59. {c |} {res} France          .          4 {txt}{c |}
 72. {c |} {res}  Italy          .          4 {txt}{c |}
 87. {c |} {res} France          .          5 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
 92. {c |} {res}Germany          .          5 {txt}{c |}
 99. {c |} {res}  Italy          .          5 {txt}{c |}
111. {c |} {res}Germany          .          6 {txt}{c |}
112. {c |} {res}  Italy          .          6 {txt}{c |}
121. {c |} {res} France          .          6 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
122. {c |} {res} France          .          7 {txt}{c |}
123. {c |} {res}Germany          .          7 {txt}{c |}
133. {c |} {res}  Italy          .          7 {txt}{c |}
159. {c |} {res}Germany          .          8 {txt}{c |}
160. {c |} {res} France          .          8 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
162. {c |} {res}  Italy          .          8 {txt}{c |}
180. {c |} {res}Germany          .          9 {txt}{c |}
182. {c |} {res}  Italy          .          9 {txt}{c |}
185. {c |} {res} France          .          9 {txt}{c |}
205. {c |} {res}  Italy     Middle         10 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
211. {c |} {res} France       More         10 {txt}{c |}
226. {c |} {res}Germany     Middle         10 {txt}{c |}
229. {c |} {res}Germany          .         11 {txt}{c |}
248. {c |} {res} France          .         11 {txt}{c |}
254. {c |} {res}  Italy          .         11 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
259. {c |} {res}Germany          .         13 {txt}{c |}
260. {c |} {res}  Italy          .         13 {txt}{c |}
270. {c |} {res} France          .         13 {txt}{c |}
278. {c |} {res}  Italy          .         14 {txt}{c |}
286. {c |} {res}Germany          .         14 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
288. {c |} {res} France          .         14 {txt}{c |}
290. {c |} {res} France     Middle         15 {txt}{c |}
299. {c |} {res}Germany     Middle         15 {txt}{c |}
300. {c |} {res}  Italy       More         15 {txt}{c |}
312. {c |} {res}Germany       Less         30 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
313. {c |} {res}  Italy       More         30 {txt}{c |}
318. {c |} {res} France       More         30 {txt}{c |}
331. {c |} {res} France          .         31 {txt}{c |}
332. {c |} {res}Germany          .         31 {txt}{c |}
334. {c |} {res}  Italy          .         31 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
337. {c |} {res} France          .         36 {txt}{c |}
347. {c |} {res}Germany          .         36 {txt}{c |}
359. {c |} {res}  Italy          .         36 {txt}{c |}
363. {c |} {res} France       More         37 {txt}{c |}
364. {c |} {res}  Italy       Less         37 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
366. {c |} {res}Germany       Less         37 {txt}{c |}
391. {c |} {res}Germany       Less         38 {txt}{c |}
392. {c |} {res}  Italy       Less         38 {txt}{c |}
395. {c |} {res} France     Middle         38 {txt}{c |}
412. {c |} {res}Germany          .         39 {txt}{c |}
     {c LT}{hline 9}{c -}{hline 10}{c -}{hline 10}{c RT}
420. {c |} {res} France          .         39 {txt}{c |}
426. {c |} {res}  Italy          .         39 {txt}{c |}
431. {c |} {res}  Italy     Middle         40 {txt}{c |}
436. {c |} {res}Germany       Less         40 {txt}{c |}
438. {c |} {res} France       More         40 {txt}{c |}
     {c BLC}{hline 9}{c -}{hline 10}{c -}{hline 10}{c BRC}

{com}. 
. ** Effects of eurozone membership
. margins, dydx(eurozone)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.eurozone}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.eurozone  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.eurozone   {txt}{c |}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .099814{col 26}{space 2} .0700748{col 37}{space 1}    1.42{col 46}{space 3}0.154{col 54}{space 4}-.0375301{col 67}{space 3} .2371581
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0001598{col 26}{space 2} .0006247{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-.0013842{col 67}{space 3} .0010646
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0996542{col 26}{space 2} .0701731{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4} -.237191{col 67}{space 3} .0378826
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1284007{col 26}{space 2} .0621286{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0066308{col 67}{space 3} .2501705
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0152249{col 26}{space 2} .0409479{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-.0954813{col 67}{space 3} .0650314
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1131757{col 26}{space 2} .0564847{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-.2238837{col 67}{space 3}-.0024677
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1249245{col 26}{space 2} .0645426{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0015767{col 67}{space 3} .2514257
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0374106{col 26}{space 2} .0112188{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0154222{col 67}{space 3}  .059399
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1623351{col 26}{space 2} .0642385{col 37}{space 1}   -2.53{col 46}{space 3}0.012{col 54}{space 4}-.2882402{col 67}{space 3}-.0364299
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. * probability of discr_nat = less , middle, more is +12%, +4%, -16% for eurozone governments, all other predictors are set at their mean values
. 
. ** Effects of Council presidency
. margins, dydx(cou_pres)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.cou_pres}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.cou_pres  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.cou_pres   {txt}{c |}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .102908{col 26}{space 2} .0651524{col 37}{space 1}    1.58{col 46}{space 3}0.114{col 54}{space 4}-.0247884{col 67}{space 3} .2306045
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0004445{col 26}{space 2}  .000984{col 37}{space 1}   -0.45{col 46}{space 3}0.651{col 54}{space 4}-.0023731{col 67}{space 3} .0014842
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1024636{col 26}{space 2} .0646075{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-.2290919{col 67}{space 3} .0241648
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0541736{col 26}{space 2}   .07116{col 37}{space 1}    0.76{col 46}{space 3}0.446{col 54}{space 4}-.0852975{col 67}{space 3} .1936447
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0121005{col 26}{space 2} .0265427{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4}-.0641232{col 67}{space 3} .0399223
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0420731{col 26}{space 2} .0500868{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.1402415{col 67}{space 3} .0560952
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .112512{col 26}{space 2} .0250366{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .0634412{col 67}{space 3} .1615828
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0149736{col 26}{space 2} .0081197{col 37}{space 1}    1.84{col 46}{space 3}0.065{col 54}{space 4}-.0009407{col 67}{space 3} .0308879
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1274856{col 26}{space 2} .0222924{col 37}{space 1}   -5.72{col 46}{space 3}0.000{col 54}{space 4} -.171178{col 67}{space 3}-.0837932
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. * probability of discr_nat = less , middle, more is +11%, +1%, -13% for presidents, all other predictors are set at their mean values
. 
. ** Effects of left-right shift
. margins, at(gov_lr=4.134) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 6}4.134}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5879952{col 26}{space 2}  .160644{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .2731388{col 67}{space 3} .9028517
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .008132{col 26}{space 2} .0076673{col 37}{space 1}    1.06{col 46}{space 3}0.289{col 54}{space 4}-.0068956{col 67}{space 3} .0231597
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4038727{col 26}{space 2} .1615127{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .0873137{col 67}{space 3} .7204317
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2543719{col 26}{space 2} .1187996{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4}  .021529{col 67}{space 3} .4872148
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5331313{col 26}{space 2} .1497205{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .2396844{col 67}{space 3} .8265781
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2124968{col 26}{space 2} .1077006{col 37}{space 1}    1.97{col 46}{space 3}0.048{col 54}{space 4} .0014075{col 67}{space 3} .4235861
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1004553{col 26}{space 2} .0405037{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .0210695{col 67}{space 3}  .179841
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2302447{col 26}{space 2} .1614105{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4} -.086114{col 67}{space 3} .5466033
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .6693001{col 26}{space 2} .1546105{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4}  .366269{col 67}{space 3} .9723311
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_nat = less , middle, more is 10%, 23%, 67% given that gov_lr is at mean-s.d. and all other predictors are set at their mean values
. 
. ** Effects of anti-pro EU shift
. margins, at(gov_eu=4.433) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 6}4.433}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5331531{col 26}{space 2} .1416813{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .2554629{col 67}{space 3} .8108433
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .008338{col 26}{space 2}  .007938{col 37}{space 1}    1.05{col 46}{space 3}0.294{col 54}{space 4}-.0072202{col 67}{space 3} .0238962
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4585089{col 26}{space 2}  .143628{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} .1770031{col 67}{space 3} .7400147
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2755123{col 26}{space 2} .1248009{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4}  .030907{col 67}{space 3} .5201176
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5300211{col 26}{space 2} .1503707{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4}    .2353{col 67}{space 3} .8247422
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1944666{col 26}{space 2} .0996602{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0008639{col 67}{space 3} .3897971
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2167446{col 26}{space 2} .0761459{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .0675013{col 67}{space 3} .3659878
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .316621{col 26}{space 2} .1767011{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4}-.0297068{col 67}{space 3} .6629488
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4666344{col 26}{space 2} .1248943{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4}  .221846{col 67}{space 3} .7114229
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_nat = less , middle, more is 22%, 32%, 47% given that gov_eu is at mean-s.d. and all other predictors are set at their mean values
. 
. ** Effects of diffuse support (goodEU_net_6)
. margins, at(goodEU_net_6=0.085) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 7}.085}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7263367{col 26}{space 2} .1233605{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} .4845546{col 67}{space 3} .9681188
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0068608{col 26}{space 2} .0063157{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0055178{col 67}{space 3} .0192393
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2668025{col 26}{space 2} .1235698{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0246102{col 67}{space 3} .5089948
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3226651{col 26}{space 2} .1189066{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0896125{col 67}{space 3} .5557176
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5172668{col 26}{space 2} .1454578{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .2321747{col 67}{space 3} .8023589
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1600682{col 26}{space 2} .0919758{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0202011{col 67}{space 3} .3403375
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1938825{col 26}{space 2} .0850817{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .0271254{col 67}{space 3} .3606396
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3063547{col 26}{space 2} .1719312{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0306242{col 67}{space 3} .6433336
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4997628{col 26}{space 2} .1344315{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .2362819{col 67}{space 3} .7632438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_nat = less , middle, more is 19%, 31%, 50% given that gov_eu is at mean-s.d. and all other predictors are set at their mean values
. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. ** A few scatter plots
. graph twoway scatter gov_eu gov_lr                      if e(sample)==1,  mlabel(id)  
{res}{txt}
{com}. graph twoway scatter goodEU_net_6 gov_lr        if e(sample)==1,  mlabel(id)  
{res}{txt}
{com}. graph twoway scatter goodEU_net_6 gov_eu        if e(sample)==1,  mlabel(id)  
{res}{txt}
{com}. graph twoway scatter discr_nat gov_lr           if e(sample)==1,  mlabel(id)  
{res}{txt}
{com}. graph twoway scatter discr_nat gov_eu           if e(sample)==1,  mlabel(id)  mlabsize(tiny)  mlabposition(12) 
{res}{txt}
{com}. graph twoway scatter discr_nat goodEU_net_6 if e(sample)==1,  mlabel(id)  mlabsize(tiny)  mlabposition(12) 
{res}{txt}
{com}. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. ***** Council Enforcement
. *** Figure 1: Marginal effect of noncompliance risk on preferring more Council involvement, over voting power
. * Code from Thomas Brambor, William Roberts Clark, Matt Golder, Political Analysis 14: 63-82
. matrix b=e(b)
{txt}
{com}. matrix list b
{res}
{txt}b[1,54]
       discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:
                                                                                                                                                                                                                     
                                       c.nbi#           1b.            2.           0b.            1.           1b.            2.                                                     0b.            1.              
        debt_gdp           nbi    c.debt_gdp      eurozone      eurozone        crisis        crisis      cou_pres      cou_pres        gov_lr        gov_eu  goodEU_net_6        comm_s        comm_s       M1[act]
y1 {res}   -.15562911    -.82595713     .05292345             0    -.80751095             0             0             0    -.84647648     .01500965    -.30144348     5.0757734             0    -1.4227118             1

{txt}       discr_com:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:
                                                                                                                                                                                                                     
         M2[act>                                     c.nbi#           1b.            2.           0b.            1.           1b.            2.                                                     0b.            1.
       issue_id]      debt_gdp           nbi    c.debt_gdp      eurozone      eurozone        crisis        crisis      cou_pres      cou_pres        gov_lr        gov_eu  goodEU_net_6        comm_s        comm_s
y1 {res}            1    -.12943083    -.32303692     .08119288             0    -.94899044             0             0             0    -.37887307    -.19213292    -.13631991     .65386895             0     .89389479

{txt}       discr_cou:    discr_cou:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:
                                                                                                                                                                                                                     
                       M2[act>                          1b.            2.           0b.            1.           1b.            2.                                                     0b.            1.              
         M1[act]     issue_id]      debt_gdp      eurozone      eurozone        crisis        crisis      cou_pres      cou_pres        gov_lr        gov_eu  goodEU_net_6        comm_s        comm_s       M1[act]
y1 {res}    .48357218     1.1279685     .29346133             0    -1.1896148             0    -1.0641739             0    -.94664264    -.37592575      .4182855     1.5307618             0     2.0928128      .4019167

{txt}       discr_nat:   /discr_com:   /discr_com:   /discr_cou:   /discr_cou:   /discr_nat:   /discr_nat:            /:            /:
                                                                                                                            var(
         M2[act>                                                                                                         M2[act>
       issue_id]          cut1          cut2          cut1          cut2          cut1          cut2  var(M1[act])    issue_id])
y1 {res}    1.0841366    -3.9129389    -3.8555959    -2.9075392     .28520803    -.14226536     1.6802789     3.7262849     .80875002
{reset}
{com}. scalar b17=b[1,17]
{txt}
{com}. scalar b19=b[1,19]
{txt}
{com}. sca dir
{txt}       b19 = {res} .08119288
{txt}       b17 = {res}-.12943083
{txt}
{com}. matrix V=e(V)
{txt}
{com}. matrix list V
{res}
{txt}symmetric V[54,54]
                 discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:    discr_com:
                                                                                                                                                                                                                               
                                                 c.nbi#           1b.            2.           0b.            1.           1b.            2.                                                     0b.            1.              
                  debt_gdp           nbi    c.debt_gdp      eurozone      eurozone        crisis        crisis      cou_pres      cou_pres        gov_lr        gov_eu  goodEU_net_6        comm_s        comm_s       M1[act]
{result:   discr_com}:
    debt_gdp {res}    .00455277
{txt}         nbi {res}   -.00930498     .19235641
{txt}       c.nbi#
  c.debt_gdp {res}   -.00005598    -.01230773     .00089626
{txt} 1b.eurozone {res}            0             0             0             0
{txt}  2.eurozone {res}   -.03535982       .198972    -.00919135             0     .45649565
{txt}   0b.crisis {res}            0             0             0             0             0             0
{txt}    1.crisis {res}            0             0             0             0             0             0             0
{txt} 1b.cou_pres {res}            0             0             0             0             0             0             0             0
{txt}  2.cou_pres {res}    .01943083    -.07528499     .00257705             0    -.27214026             0             0             0     .24175485
{txt}      gov_lr {res}   -.01096101     .02346153     .00004931             0     .08635035             0             0             0    -.04638967     .02642335
{txt}      gov_eu {res}   -.00015399     .06749303    -.00479811             0     .04767414             0             0             0    -.01141439     .00077165     .02613225
{txt}goodEU_net_6 {res}    .05131427    -.31829969     .01385831             0    -.41688589             0             0             0     .11097916    -.12426022    -.08871815     1.0569339
{txt}   0b.comm_s {res}            0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.comm_s {res}     .0030812     .65193558    -.04979765             0     .50471702             0             0             0     .19000632     .00470105     .25536322    -.74012581             0     5.1616752
{txt}     M1[act] {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}      M2[act>
   issue_id] {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}{result:   discr_cou}:
    debt_gdp {res}    -.0006297     .00297632     -.0001817             0     .00632232             0             0             0     .00771849     .00175686     .00064323    -.00870207             0     .08504518             0
{txt}         nbi {res}   -.00170019      .0512748    -.00352695             0     .04897567             0             0             0     .00398499     .00469045     .01791885    -.06601208             0     .33364629             0
{txt}       c.nbi#
  c.debt_gdp {res}     .0002991    -.00397435     .00027217             0     -.0058494             0             0             0    -.00167362    -.00083856    -.00123636     .00520206             0    -.04726354             0
{txt} 1b.eurozone {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}  2.eurozone {res}    -.0029771     .05678891    -.00355523             0     .00841103             0             0             0      .0786251     .00787105     .02086413    -.16784941             0     .49513299             0
{txt}   0b.crisis {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.crisis {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt} 1b.cou_pres {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}  2.cou_pres {res}     .0019031    -.01083297     .00019137             0     .04509467             0             0             0    -.08318688    -.00525554    -.00348215     .11622996             0      -.149708             0
{txt}      gov_lr {res}    .00069566     .00541917     -.0005302             0     .01180072             0             0             0    -.01837645    -.00173965     .00225909     .01873068             0    -.01714568             0
{txt}      gov_eu {res}     .0013532    -.02629311     .00166184             0    -.00870172             0             0             0    -.02926045    -.00369532    -.00927391      .0668378             0    -.21587733             0
{txt}goodEU_net_6 {res}   -.00553354     .04074962    -.00221942             0      .0266399             0             0             0     .08402152     .01536921     .01100848    -.13663274             0     .60272664             0
{txt}   0b.comm_s {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.comm_s {res}   -.00612345     -.0064114     .00198905             0    -.14466657             0             0             0      .2547334      .0154568    -.00196304    -.32071338             0     .45418637             0
{txt}     M1[act] {res}    -.0056399     .02736991     -.0010051             0      .0365052             0             0             0    -.00019479     .01383475     .00727068    -.11919372             0     .10013469             0
{txt}      M2[act>
   issue_id] {res}    .00104372     -.0078182     .00003034             0     .07933203             0             0             0    -.12625329    -.00273797    -.00439408     .15188289             0    -.21409501             0
{txt}{result:   discr_nat}:
    debt_gdp {res}   -.00131388     .01048782    -.00051975             0     .00991205             0             0             0      .0013873     .00323099     .00323725    -.03362896             0     .04136924             0
{txt} 1b.eurozone {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}  2.eurozone {res}    .02129376    -.15804441     .00757504             0    -.17808441             0             0             0     .02909368    -.05180611    -.04737594     .49352177             0     -.4530782             0
{txt}   0b.crisis {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.crisis {res}   -.04619398     .25731396    -.01048098             0      .1528878             0             0             0     .33741328     .11551453     .07391284    -1.2244912             0     2.0099162             0
{txt} 1b.cou_pres {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}  2.cou_pres {res}    .00425868    -.02034453     .00082762             0     -.0355918             0             0             0     .00272166    -.01049954    -.00525001     .07802181             0    -.12444882             0
{txt}      gov_lr {res}    .00287794    -.01327981     .00045627             0    -.00529036             0             0             0    -.02617296     -.0072196     -.0036151     .07658726             0    -.12968324             0
{txt}      gov_eu {res}   -.00113185    -.00194093     .00029842             0    -.00667896             0             0             0     .02433275     .00296354    -.00116212    -.02831546             0     .08633325             0
{txt}goodEU_net_6 {res}   -.01997781     .20376478    -.01097107             0     .23320635             0             0             0    -.10756195     .04818709     .06481009    -.48482199             0     .34551704             0
{txt}   0b.comm_s {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.comm_s {res}   -.00659648    -.08695179     .00703579             0    -.28999684             0             0             0     .58338177     .02076963    -.03124524     -.3677591             0     1.6725163             0
{txt}     M1[act] {res}   -.00153894     .03346253    -.00225827             0     .03649291             0             0             0    -.00125706     .00420702     .01182953    -.05291958             0     .21784933             0
{txt}      M2[act>
   issue_id] {res}    -.0106857     .04647559    -.00162062             0     .08528953             0             0             0    -.02221518     .02605858      .0107348    -.18101788             0     .16551694             0
{txt}{result:  /discr_com}:
        cut1 {res}   -.10336198     1.2407314    -.07323817             0     1.6854465             0             0             0    -.79856402     .25573372     .39795866    -2.2217816             0     3.8501153             0
{txt}        cut2 {res}   -.10191669     1.2218626    -.07201713             0     1.6525507             0             0             0    -.78423319     .25198098     .39200733    -2.2007506             0     3.7430663             0
{txt}{result:  /discr_cou}:
        cut1 {res}   -.00227756     .13554017    -.01006094             0     .31457066             0             0             0    -.33007029     .00487028     .04382462     .14802536             0     .02377811             0
{txt}        cut2 {res}    .00255606     .07214775    -.00415136             0    -.01185613             0             0             0    -.12859344    -.01010641     .02996567    -.11207124             0    -1.0095549             0
{txt}{result:  /discr_nat}:
        cut1 {res}   -.05396065     .31410683    -.01331529             0     .19818775             0             0             0     .38948594     .13530306     .09095104    -1.4273606             0     2.4626091             0
{txt}        cut2 {res}   -.01072603     .00070697      .0014796             0    -.12510645             0             0             0     .38583832     .02970402    -.00293314    -.38845484             0     1.4027007             0
{txt}{result:           /}:
var(M1[act]) {res}    .08796718    -1.4418477     .08742197             0    -1.4195875             0             0             0     .55730356    -.21567685    -.49587761       2.80064             0    -3.7417038             0
{txt}         var(
      M2[act>
  issue_id]) {res}    .00379183     .00898483    -.00107232             0    -.02502971             0             0             0     .00234695    -.00951232     .00625077     .01616545             0    -.07633038             0

{txt}                 discr_com:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:    discr_cou:
                                                                                                                                                                                                                               
                   M2[act>                                     c.nbi#           1b.            2.           0b.            1.           1b.            2.                                                     0b.            1.
                 issue_id]      debt_gdp           nbi    c.debt_gdp      eurozone      eurozone        crisis        crisis      cou_pres      cou_pres        gov_lr        gov_eu  goodEU_net_6        comm_s        comm_s
{result:   discr_com}:
      M2[act>
   issue_id] {res}            0
{txt}{result:   discr_cou}:
    debt_gdp {res}            0     .00310449
{txt}         nbi {res}            0     .01210015     .10006828
{txt}       c.nbi#
  c.debt_gdp {res}            0    -.00168178    -.00945779     .00108161
{txt} 1b.eurozone {res}            0             0             0             0             0
{txt}  2.eurozone {res}            0     .01848057     .12912349    -.01246277             0     .21856321
{txt}   0b.crisis {res}            0             0             0             0             0             0             0
{txt}    1.crisis {res}            0             0             0             0             0             0             0             0
{txt} 1b.cou_pres {res}            0             0             0             0             0             0             0             0             0
{txt}  2.cou_pres {res}            0     -.0098608    -.03982863     .00505563             0    -.05021833             0             0             0     .23568171
{txt}      gov_lr {res}            0    -.00150944    -.00039708     .00038694             0    -.00948453             0             0             0     .01679367     .00316354
{txt}      gov_eu {res}            0    -.00862603    -.05836934     .00585845             0     -.0841733             0             0             0     .06008385     .00468662     .04183752
{txt}goodEU_net_6 {res}            0      .0264134     .11919425    -.01519177             0     .13886139             0             0             0    -.30271169    -.02036886    -.11104994     .47689564
{txt}   0b.comm_s {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.comm_s {res}            0     .02398991     .08970041    -.01075941             0     .25459677             0             0             0    -.18206686    -.03711224    -.10149083     .25060509             0     .55916483
{txt}     M1[act] {res}            0    -.00088516    -.02980555     .00207908             0    -.02347439             0             0             0    -.01004497    -.00437091     .01087877    -.00648456             0     .02670639
{txt}      M2[act>
   issue_id] {res}            0    -.01302591    -.07810037     .00755774             0    -.15903534             0             0             0     .12133972     .01693129     .07063878    -.17345452             0    -.28763515
{txt}{result:   discr_nat}:
    debt_gdp {res}            0     .00082391     .00446127    -.00046038             0     .00938806             0             0             0    -.00800342    -.00104916    -.00427006     .01139596             0     .01729363
{txt} 1b.eurozone {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}  2.eurozone {res}            0     -.0051772    -.03501705     .00295771             0    -.09036931             0             0             0     .05684773     .00956273     .03502687    -.06887378             0    -.16931699
{txt}   0b.crisis {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.crisis {res}            0     .06377158       .233757    -.03049143             0      .5401615             0             0             0    -.49210307    -.07775626    -.24709576     .74794866             0     1.1285646
{txt} 1b.cou_pres {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}  2.cou_pres {res}            0     -.0011455     .00982777    -.00026806             0    -.00425891             0             0             0    -.02380883     .00197051    -.00585301     .02943779             0    -.02371933
{txt}      gov_lr {res}            0    -.00439568     -.0143014     .00199771             0    -.03548596             0             0             0     .03359873     .00558593     .01617506    -.05056604             0    -.07853041
{txt}      gov_eu {res}            0     .00331141     .00487194    -.00120824             0     .01995898             0             0             0    -.01487437    -.00409969    -.00766826     .02566293             0     .05231938
{txt}goodEU_net_6 {res}            0    -.00250469     .04156831    -.00121203             0     .05741549             0             0             0    -.03623775     .00217726    -.02682865     .03217588             0     .03697529
{txt}   0b.comm_s {res}            0             0             0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.comm_s {res}            0     .07652809      .2032596    -.03338701             0     .49384542             0             0             0     -.5141381    -.08701039    -.23662717     .82947215             0     1.1470026
{txt}     M1[act] {res}            0     .00338147     .01284884    -.00186398             0     .01932188             0             0             0    -.00398148    -.00063359    -.00806842     .02193266             0     .01686523
{txt}      M2[act>
   issue_id] {res}            0     .00210795    -.00690784    -.00014812             0     .01046484             0             0             0     .00060388    -.00425304      .0000589    -.00052651             0      .0476469
{txt}{result:  /discr_com}:
        cut1 {res}            0     .02646527      .3520571    -.03058572             0     .30939983             0             0             0    -.05436784     .04231994     -.1644307     .33778068             0    -.22657698
{txt}        cut2 {res}            0     .02483142      .3446686    -.02952253             0     .30436294             0             0             0    -.05804136     .04134024    -.16183602     .32957684             0    -.21668924
{txt}{result:  /discr_cou}:
        cut1 {res}            0    -.00404458     .15297266    -.00903996             0     .06567079             0             0             0     .24334947     .04858122    -.01363426    -.17668559             0    -.43350738
{txt}        cut2 {res}            0     -.0309623     .03547783     .00875574             0     .01434031             0             0             0     .06498535     .02381017     .00324922    -.20064971             0     -.1480005
{txt}{result:  /discr_nat}:
        cut1 {res}            0     .07861479     .30034293    -.03863588             0      .6526234             0             0             0    -.61106062    -.09085652    -.30663071     .94407836             0     1.3246485
{txt}        cut2 {res}            0     .05972262     .19344834     -.0282268             0     .40561433             0             0             0    -.41268392    -.06222407    -.19978801     .67908458             0     .85181966
{txt}{result:           /}:
var(M1[act]) {res}            0    -.00740519    -.44191631     .02599399             0     -.5632821             0             0             0      .2107192    -.02902982     .25493831    -.34298975             0     -.2267646
{txt}         var(
      M2[act>
  issue_id]) {res}            0    -.00243755      .0181582    -.00013199             0     .01685598             0             0             0    -.00868894     .00291364     -.0090275     .00296369             0    -.00703232

{txt}                 discr_cou:    discr_cou:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:    discr_nat:
                                                                                                                                                                                                                               
                                 M2[act>                          1b.            2.           0b.            1.           1b.            2.                                                     0b.            1.              
                   M1[act]     issue_id]      debt_gdp      eurozone      eurozone        crisis        crisis      cou_pres      cou_pres        gov_lr        gov_eu  goodEU_net_6        comm_s        comm_s       M1[act]
{result:   discr_cou}:
     M1[act] {res}    .03353881
{txt}      M2[act>
   issue_id] {res}     .0053482     .16943152
{txt}{result:   discr_nat}:
    debt_gdp {res}    .00348701     -.0090837     .00125291
{txt} 1b.eurozone {res}            0             0             0             0
{txt}  2.eurozone {res}   -.05706642     .08058397    -.01631023             0     .23500429
{txt}   0b.crisis {res}            0             0             0             0             0             0
{txt}    1.crisis {res}    .13465759    -.57266947     .05399517             0     -.6104894             0     2.9217446
{txt} 1b.cou_pres {res}            0             0             0             0             0             0             0             0
{txt}  2.cou_pres {res}   -.01852455    -.00324022     -.0021821             0     .03832931             0     -.0899649             0     .01777526
{txt}      gov_lr {res}   -.00916477     .03906849    -.00348639             0      .0384231             0    -.19722212             0     .00609785     .01343564
{txt}      gov_eu {res}    .00617089    -.02229538     .00160987             0    -.01536379             0     .11781922             0    -.00550181    -.00838703     .00668527
{txt}goodEU_net_6 {res}    .04188801    -.03338783     .01451129             0    -.22678433             0     .36767286             0    -.02296035     -.0198894    -.00331182     .28144171
{txt}   0b.comm_s {res}            0             0             0             0             0             0             0             0             0             0             0             0             0
{txt}    1.comm_s {res}    .05230125    -.57367771     .03118028             0    -.21716438             0     2.4821267             0    -.03799281    -.17634251     .13135764    -.13234119             0     2.9813039
{txt}     M1[act] {res}    .00726689    -.00649397      .0022251             0    -.02837514             0     .09436044             0    -.00746173    -.00596964     .00360636     .02477074             0      .0589902     .00994307
{txt}      M2[act>
   issue_id] {res}    .03167891    -.00761866     .00536726             0    -.08424662             0     .20891073             0    -.02374922    -.01361941     .00813415     .06798954             0     .07839395     .01164515
{txt}{result:  /discr_com}:
        cut1 {res}    .17884767     .05020231     .06796263             0    -1.0519732             0       1.57537             0     -.1375367    -.07824375    -.02057406     1.3695936             0    -.79335776     .21481355
{txt}        cut2 {res}    .17682335     .04455341     .06725196             0    -1.0415393             0     1.5568803             0    -.13436201    -.07733647     -.0209153     1.3567299             0    -.79117319     .20962672
{txt}{result:  /discr_cou}:
        cut1 {res}    -.1178344      .1464799    -.00969439             0     .08650137             0    -.85598107             0     .03808743      .0651994    -.05524278     .09574032             0    -1.0721857      .0037474
{txt}        cut2 {res}   -.05905011    -.00171108     -.0010756             0    -.03776624             0    -.49181411             0     .04866783     .03916909    -.04958486     .20160717             0    -.90359961     -.0402253
{txt}{result:  /discr_nat}:
        cut1 {res}    .14835384    -.68420011     .06390809             0    -.71201162             0     3.4665301             0     -.0967692    -.23362522     .13805766     .43423906             0     2.9663583     .11428179
{txt}        cut2 {res}    .03528124    -.44412993     .02713591             0    -.21374266             0     1.9495154             0    -.02454654    -.13625966     .09479837    -.01972826             0     2.1968041      .0527088
{txt}{result:           /}:
var(M1[act]) {res}   -.18738945      .2637855    -.09075489             0     1.3577956             0    -2.3372006             0     .12140205     .12414969      .0214571    -1.7434158             0     .63803701     -.2077628
{txt}         var(
      M2[act>
  issue_id]) {res}   -.01592637    -.01411851    -.00032837             0     .00673971             0     -.0512797             0     .01290152     .00422064    -.00624361     .01627112             0    -.07312334    -.00459035

{txt}                 discr_nat:   /discr_com:   /discr_com:   /discr_cou:   /discr_cou:   /discr_nat:   /discr_nat:            /:            /:
                                                                                                                                      var(
                   M2[act>                                                                                                         M2[act>
                 issue_id]          cut1          cut2          cut1          cut2          cut1          cut2  var(M1[act])    issue_id])
{result:   discr_nat}:
      M2[act>
   issue_id] {res}    .04211718
{txt}{result:  /discr_com}:
        cut1 {res}    .34990202     8.6840572
{txt}        cut2 {res}    .34457462     8.5431035     8.4058763
{txt}{result:  /discr_cou}:
        cut1 {res}   -.06331202     1.1545286      1.128505      1.052832
{txt}        cut2 {res}   -.05018923     .37626954     .39600331     .44277981     .80788278
{txt}{result:  /discr_nat}:
        cut1 {res}    .23756716     1.9524398     1.9276214    -.96559012    -.58978484     4.1265769
{txt}        cut2 {res}    .06691436    -.11108271    -.11617311    -.69386421    -.60923743     2.3424794     1.6567864
{txt}{result:           /}:
var(M1[act]) {res}   -.35550318    -9.2878647    -9.1794292    -.99232906    -1.1814161    -2.8183619    -.07014822     11.748418
{txt}         var(
      M2[act>
  issue_id]) {res}    -.0168072     .01571228     .01850368     .06476084     .10642366    -.05580032    -.04352231    -.14581116     .01966887
{reset}
{com}. scalar varb17=V[17,17]
{txt}
{com}. scalar varb19=V[19,19]
{txt}
{com}. scalar covb17b19=V[17,19]
{txt}
{com}. sca dir
{txt} covb17b19 = {res}-.00168178
{txt}    varb19 = {res} .00108161
{txt}    varb17 = {res} .00310449
{txt}       b19 = {res} .08119288
{txt}       b17 = {res}-.12943083
{txt}
{com}. generate MVZ=(_n+8)/10
{txt}
{com}. replace  MVZ=. if _n>123
{txt}(316 real changes made, 316 to missing)

{com}. gen conbx=b17+b19*MVZ if _n<=123
{txt}(316 missing values generated)

{com}. gen consx=sqrt(varb17+varb19*(MVZ^2)+2*covb17b19*MVZ) if _n<=123
{txt}(316 missing values generated)

{com}. gen ax=1.96*consx
{txt}(316 missing values generated)

{com}. gen upperx=conbx+ax
{txt}(316 missing values generated)

{com}. gen lowerx=conbx-ax
{txt}(316 missing values generated)

{com}. gen where=-0.015 
{txt}
{com}. gen pipe = "|" 
{txt}
{com}. egen tag_nbi = tag(nbi)
{txt}
{com}. gen yline=0
{txt}
{com}. graph twoway hist nbi, width(0.5) percent color(gs14) yaxis(2) ///
>                 || scatter where nbi if tag_nbi, plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off)  ///
>                 ||   line conbx   MVZ, clpattern(solid) clwidth(medium) clcolor(black) yaxis(1)  ///
>         ||   line upperx  MVZ, clpattern(dash) clwidth(thin) clcolor(black)  ///
>         ||   line lowerx  MVZ, clpattern(dash) clwidth(thin) clcolor(black)  ///
>         ||   line yline  MVZ,  clwidth(thin) clcolor(black) clpattern(solid) || , ///
>                          xlabel(1 5 10, noticks nogrid labsize(2)) xscale(noline) ylabel( 0 0.5 1 1.5, noticks axis(1) nogrid labsize(2))  ///
>                      ylabel(0 5 10 15 20, noticks axis(2) nogrid labsize(2)) yscale(noline alt) yscale(noline alt axis(2)) legend(off) ///                       
>                          title("" , size(2.5)) xtitle("Voting power (%)" , size(2.5)) ytitle("Marginal effect of {c -(}it:noncompliance risk{c )-}" , axis(1) size(2.5)) ytitle("" , axis(2) size(2.5)) ///
>                          xsca(titlegap(2) r(0.3 1.5)) ysca(titlegap(2)) scheme(s2mono) graphregion(fcolor(white) ilcolor(white) lcolor(white)) saving(figure1, replace)
{res}{txt}(file figure1.gph saved)

{com}. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. * Descriptive statistics: noncompliance risk and positions on Council involvement in enforcement (large countries only)                          
. sort discr_cou
{txt}
{com}. by discr_cou: sum debt_gdp if e(sample)==1 & nbi>3.092

{txt}{hline}
-> discr_cou = Less

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         30    6.177827    2.123652       1.52      11.14

{txt}{hline}
-> discr_cou = Middle

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         57      7.3564    3.110622       1.52      17.21

{txt}{hline}
-> discr_cou = More

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         31    9.060645    4.017584       1.52      17.21

{txt}{hline}
-> discr_cou = .

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}        169    7.694762    3.366825       1.52      17.21

{txt}
{com}. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. ***** Substantive effects: Council Enforcement
. ** Effects of interaction noncompliance risk (debt_gdp) x voting power (nbi)
. margins, at(nbi=13.044) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 5}13.044}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9559339{col 26}{space 2} .0528757{col 37}{space 1}   18.08{col 46}{space 3}0.000{col 54}{space 4} .8522994{col 67}{space 3} 1.059568
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0018032{col 26}{space 2} .0013234{col 37}{space 1}    1.36{col 46}{space 3}0.173{col 54}{space 4}-.0007907{col 67}{space 3}  .004397
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0422629{col 26}{space 2} .0523032{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.0602494{col 67}{space 3} .1447752
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0938057{col 26}{space 2}  .110307{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.1223921{col 67}{space 3} .3100035
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .4534658{col 26}{space 2} .1604052{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1390773{col 67}{space 3} .7678542
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .4527286{col 26}{space 2} .2201324{col 37}{space 1}    2.06{col 46}{space 3}0.040{col 54}{space 4} .0212769{col 67}{space 3} .8841802
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1558587{col 26}{space 2} .0604907{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0372991{col 67}{space 3} .2744183
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2830136{col 26}{space 2} .1683604{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0469667{col 67}{space 3} .6129939
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5611277{col 26}{space 2} .1378466{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .2909533{col 67}{space 3} .8313021
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 9%, 45%, 45% given that nbi=13 (large voting power) all other predictors are set at their mean values.
. margins, at(nbi=13.044 debt_gdp=9.974) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 6}9.974}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 5}13.044}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8545873{col 26}{space 2} .0814493{col 37}{space 1}   10.49{col 46}{space 3}0.000{col 54}{space 4} .6949496{col 67}{space 3} 1.014225
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0046365{col 26}{space 2} .0038301{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.0028704{col 67}{space 3} .0121433
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1407763{col 26}{space 2} .0820033{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4}-.0199473{col 67}{space 3} .3014998
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0053824{col 26}{space 2} .0079846{col 37}{space 1}    0.67{col 46}{space 3}0.500{col 54}{space 4} -.010267{col 67}{space 3} .0210318
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .087354{col 26}{space 2} .0537961{col 37}{space 1}    1.62{col 46}{space 3}0.104{col 54}{space 4}-.0180845{col 67}{space 3} .1927924
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .9072636{col 26}{space 2} .0598126{col 37}{space 1}   15.17{col 46}{space 3}0.000{col 54}{space 4}  .790033{col 67}{space 3} 1.024494
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0719538{col 26}{space 2} .0269782{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0190775{col 67}{space 3} .1248302
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1905109{col 26}{space 2} .1365509{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4} -.077124{col 67}{space 3} .4581458
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7375353{col 26}{space 2} .1258195{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .4909336{col 67}{space 3} .9841369
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 0.5%, 9%, 91% given that nbi=13 (large voting power) all other predictors are set at their mean values.
. margins, at(nbi=0.942) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 7}.942}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3494218{col 26}{space 2} .1617166{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0324631{col 67}{space 3} .6663805
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .007756{col 26}{space 2} .0075703{col 37}{space 1}    1.02{col 46}{space 3}0.306{col 54}{space 4}-.0070816{col 67}{space 3} .0225936
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .6428222{col 26}{space 2} .1631289{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .3230955{col 67}{space 3}  .962549
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4208435{col 26}{space 2} .1838834{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0604387{col 67}{space 3} .7812483
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .4720745{col 26}{space 2} .1508342{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .1764448{col 67}{space 3} .7677042
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  .107082{col 26}{space 2} .1005742{col 37}{space 1}    1.06{col 46}{space 3}0.287{col 54}{space 4}-.0900398{col 67}{space 3} .3042039
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1558587{col 26}{space 2} .0604907{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0372991{col 67}{space 3} .2744183
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2830136{col 26}{space 2} .1683604{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0469667{col 67}{space 3} .6129939
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5611277{col 26}{space 2} .1378466{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .2909533{col 67}{space 3} .8313021
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 42%, 47%, 11% given that nbi=0.9 (small voting power) all other predictors are set at their mean values.
. margins, at(nbi=0.942 debt_gdp=9.974) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 6}9.974}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 7}.942}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3998031{col 26}{space 2} .2018998{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0040868{col 67}{space 3} .7955193
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0081098{col 26}{space 2} .0077543{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.0070883{col 67}{space 3} .0233079
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5920871{col 26}{space 2} .2022217{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .1957399{col 67}{space 3} .9884344
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4539352{col 26}{space 2} .1965535{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .0686973{col 67}{space 3}  .839173
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .4527312{col 26}{space 2} .1565293{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .1459394{col 67}{space 3} .7595231
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0933336{col 26}{space 2} .0951151{col 37}{space 1}    0.98{col 46}{space 3}0.326{col 54}{space 4}-.0930886{col 67}{space 3} .2797558
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0719538{col 26}{space 2} .0269782{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0190775{col 67}{space 3} .1248302
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1905109{col 26}{space 2} .1365509{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4} -.077124{col 67}{space 3} .4581458
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7375353{col 26}{space 2} .1258195{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .4909336{col 67}{space 3} .9841369
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 45%, 45%, 9% given that nbi=0.9 (small voting power) all other predictors are set at their mean values.
. ** Effects of government left-right (gov_lr)
. margins, atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5846155{col 26}{space 2} .1432918{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .3037687{col 67}{space 3} .8654623
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0081497{col 26}{space 2} .0076161{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.0067775{col 67}{space 3} .0230769
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4072348{col 26}{space 2} .1451403{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .1227651{col 67}{space 3} .6917044
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3005174{col 26}{space 2} .1164471{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0722852{col 67}{space 3} .5287495
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5241604{col 26}{space 2} .1474492{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .2351652{col 67}{space 3} .8131555
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1753223{col 26}{space 2}  .094422{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0097415{col 67}{space 3} .3603861
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1558587{col 26}{space 2} .0604907{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0372991{col 67}{space 3} .2744183
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2830136{col 26}{space 2} .1683604{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0469667{col 67}{space 3} .6129939
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5611277{col 26}{space 2} .1378466{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .2909533{col 67}{space 3} .8313021
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 30%, 52%, 18% given all predictors are set at their mean values.
. margins, at(gov_lr=7.298) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 6}7.298}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5812288{col 26}{space 2} .1339977{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4}  .318598{col 67}{space 3} .8438595
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0081668{col 26}{space 2} .0075741{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0066782{col 67}{space 3} .0230117
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4106045{col 26}{space 2} .1367955{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .1424902{col 67}{space 3} .6787188
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3504192{col 26}{space 2} .1112922{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .1322906{col 67}{space 3} .5685479
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .506689{col 26}{space 2} .1415471{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .2292618{col 67}{space 3} .7841163
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1428917{col 26}{space 2} .0824356{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4} -.018679{col 67}{space 3} .3044625
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .230643{col 26}{space 2}  .090625{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0530213{col 67}{space 3} .4082647
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3216804{col 26}{space 2} .1738476{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0190546{col 67}{space 3} .6624153
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4476767{col 26}{space 2} .1073142{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} .2373447{col 67}{space 3} .6580086
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 35%, 51%, 14% at an s.d. higher gov_lr and all other predictors are set at their mean values.
. ** Effects of eurozone
. margins eurozone, atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31} Delta-method
{col 19}{c |}     Margin{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_predict#eurozone {c |}
{space 12}1#No  {c |}{col 19}{res}{space 2} .5132948{col 31}{space 2} .1703322{col 42}{space 1}    3.01{col 51}{space 3}0.003{col 59}{space 4} .1794498{col 72}{space 3} .8471398
{txt}{space 11}1#Yes  {c |}{col 19}{res}{space 2} .6287327{col 31}{space 2} .1320437{col 42}{space 1}    4.76{col 51}{space 3}0.000{col 59}{space 4} .3699319{col 72}{space 3} .8875336
{txt}{space 12}2#No  {c |}{col 19}{res}{space 2} .0083698{col 31}{space 2} .0080435{col 42}{space 1}    1.04{col 51}{space 3}0.298{col 59}{space 4}-.0073951{col 72}{space 3} .0241347
{txt}{space 11}2#Yes  {c |}{col 19}{res}{space 2} .0078686{col 31}{space 2} .0070749{col 42}{space 1}    1.11{col 51}{space 3}0.266{col 59}{space 4}-.0059979{col 72}{space 3} .0217351
{txt}{space 12}3#No  {c |}{col 19}{res}{space 2} .4783354{col 31}{space 2} .1706525{col 42}{space 1}    2.80{col 51}{space 3}0.005{col 59}{space 4} .1438626{col 72}{space 3} .8128082
{txt}{space 11}3#Yes  {c |}{col 19}{res}{space 2} .3633986{col 31}{space 2} .1349343{col 42}{space 1}    2.69{col 51}{space 3}0.007{col 59}{space 4} .0989323{col 72}{space 3}  .627865
{txt}{space 12}4#No  {c |}{col 19}{res}{space 2} .2162801{col 31}{space 2} .0914292{col 42}{space 1}    2.37{col 51}{space 3}0.018{col 59}{space 4} .0370821{col 72}{space 3}  .395478
{txt}{space 11}4#Yes  {c |}{col 19}{res}{space 2} .3616242{col 31}{space 2}   .13605{col 42}{space 1}    2.66{col 51}{space 3}0.008{col 59}{space 4} .0949711{col 72}{space 3} .6282773
{txt}{space 12}5#No  {c |}{col 19}{res}{space 2} .5335214{col 31}{space 2} .1509685{col 42}{space 1}    3.53{col 51}{space 3}0.000{col 59}{space 4} .2376285{col 72}{space 3} .8294142
{txt}{space 11}5#Yes  {c |}{col 19}{res}{space 2} .5018755{col 31}{space 2} .1492597{col 42}{space 1}    3.36{col 51}{space 3}0.001{col 59}{space 4} .2093319{col 72}{space 3}  .794419
{txt}{space 12}6#No  {c |}{col 19}{res}{space 2} .2501986{col 31}{space 2} .1207065{col 42}{space 1}    2.07{col 51}{space 3}0.038{col 59}{space 4} .0136181{col 72}{space 3}  .486779
{txt}{space 11}6#Yes  {c |}{col 19}{res}{space 2} .1365003{col 31}{space 2} .0808784{col 42}{space 1}    1.69{col 51}{space 3}0.091{col 59}{space 4}-.0220184{col 72}{space 3} .2950191
{txt}{space 12}7#No  {c |}{col 19}{res}{space 2} .0906278{col 31}{space 2} .0229818{col 42}{space 1}    3.94{col 51}{space 3}0.000{col 59}{space 4} .0455842{col 72}{space 3} .1356714
{txt}{space 11}7#Yes  {c |}{col 19}{res}{space 2} .2124362{col 31}{space 2} .0982833{col 42}{space 1}    2.16{col 51}{space 3}0.031{col 59}{space 4} .0198045{col 72}{space 3} .4050679
{txt}{space 12}8#No  {c |}{col 19}{res}{space 2} .2177513{col 31}{space 2} .1653103{col 42}{space 1}    1.32{col 51}{space 3}0.188{col 59}{space 4} -.106251{col 72}{space 3} .5417536
{txt}{space 11}8#Yes  {c |}{col 19}{res}{space 2} .3148778{col 31}{space 2}  .169529{col 42}{space 1}    1.86{col 51}{space 3}0.063{col 59}{space 4} -.017393{col 72}{space 3} .6471485
{txt}{space 12}9#No  {c |}{col 19}{res}{space 2} .6916209{col 31}{space 2} .1606234{col 42}{space 1}    4.31{col 51}{space 3}0.000{col 59}{space 4} .3768049{col 72}{space 3} 1.006437
{txt}{space 11}9#Yes  {c |}{col 19}{res}{space 2} .4726861{col 31}{space 2}  .116576{col 42}{space 1}    4.05{col 51}{space 3}0.000{col 59}{space 4} .2442014{col 72}{space 3} .7011707
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 22%, 53%, 25% for non-eurozone governments
. * probability of discr_cou = less , middle, more is 36%, 50%, 14% for eurozone governments
. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. ***** Commission Enforcement
. *** Figure A2: Marginal effect of noncompliance risk on preferring Commission involvement, over voting power
. drop MVZ-yline
{txt}
{com}. * Code from Thomas Brambor, William Roberts Clark, Matt Golder, Political Analysis 14: 63-82)
. matrix b=e(b)
{txt}
{com}. matrix V=e(V)
{txt}
{com}. scalar b1=b[1,1]
{txt}
{com}. scalar b3=b[1,3]
{txt}
{com}. scalar varb1=V[1,1]
{txt}
{com}. scalar varb3=V[3,3]
{txt}
{com}. scalar covb1b3=V[1,3]
{txt}
{com}. generate MVZ=(_n+8)/10
{txt}
{com}. replace  MVZ=. if _n>123
{txt}(316 real changes made, 316 to missing)

{com}. gen conbx=b1+b3*MVZ if _n<=123
{txt}(316 missing values generated)

{com}. gen consx=sqrt(varb1+varb3*(MVZ^2)+2*covb1b3*MVZ) if _n<=123
{txt}(316 missing values generated)

{com}. gen ax=1.96*consx
{txt}(316 missing values generated)

{com}. gen upperx=conbx+ax
{txt}(316 missing values generated)

{com}. gen lowerx=conbx-ax
{txt}(316 missing values generated)

{com}. gen where=-0.16 
{txt}
{com}. gen pipe = "|" 
{txt}
{com}. egen tag_nbi = tag(nbi)
{txt}
{com}. gen yline=0
{txt}
{com}. graph twoway hist nbi, width(0.5) percent color(gs14) yaxis(2) ///
>                 || scatter where nbi if tag_nbi, plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off)  ///
>                 ||   line conbx   MVZ, clpattern(solid) clwidth(medium) clcolor(black) yaxis(1)  ///
>         ||   line upperx  MVZ, clpattern(dash) clwidth(thin) clcolor(black)  ///
>         ||   line lowerx  MVZ, clpattern(dash) clwidth(thin) clcolor(black)  ///
>         ||   line yline  MVZ,  clwidth(thin) clcolor(black) clpattern(solid) || , ///
>                          xlabel(1 5 10, noticks nogrid labsize(2)) xscale(noline) ylabel(0 0.5 1, noticks axis(1) nogrid labsize(2))  ///
>                      ylabel(0 5 10 15 20, noticks axis(2) nogrid labsize(2)) yscale(noline alt) yscale(noline alt axis(2)) legend(off) ///                       
>                          title(" " , size(2.5)) xtitle("Voting power" , size(2.5)) ytitle("Marginal effect of {c -(}it:noncompliance risk{c )-}" , axis(1) size(2.5)) ytitle("" , axis(2) size(2.5)) ///
>                          xsca(titlegap(2) r(0.3 1.5)) ysca(titlegap(2)) scheme(s2mono) graphregion(fcolor(white) ilcolor(white) lcolor(white)) saving(figureA2, replace)
{res}{txt}(file figureA2.gph saved)

{com}. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}.                          
. ** A few scatter plots and descriptive statistics
. * issue = 1 (EDP methodological inspections)
. * H3
. graph twoway scatter discr_com nbi if e(sample)==1 & issue_id==1 & debt_gdp>6.523,  mlabel(country)  mlabsize(tiny) mlabpos(12) title(H3)
{res}{txt}
{com}. * high noncompliance risk countries, large voting power governments opposed the expansion of prerogatives; medium to small voting power governments supported it
. graph twoway scatter discr_com nbi if e(sample)==1 & issue_id==1 & debt_gdp<6.523,  mlabel(country)  mlabsize(tiny) mlabpos(12)
{res}{txt}
{com}. * high noncompliance risk countries, large voting power governments opposed the expansion of prerogatives; medium to small voting power governments supported it
. * H1
. graph twoway scatter discr_com debt_gdp if e(sample)==1 & issue_id==1,  mlabel(country)  mlabsize(tiny) mlabpos(12) title(H1)
{res}{txt}
{com}. 
. * issue = 5, 8, 13 (reverse QMV)
. * H3
. graph twoway scatter discr_com nbi if e(sample)==1 & (issue_id==5 | issue_id==8 | issue_id==13) & debt_gdp>6.523,  mlabel(country)  mlabsize(tiny) mlabpos(12) title(H3)
{res}{txt}
{com}. * H1
. graph twoway scatter discr_com debt_gdp if e(sample)==1 & (issue_id==5 | issue_id==8 | issue_id==13),  mlabel(country)  mlabsize(tiny) mlabpos(12) title(H1)
{res}{txt}
{com}. 
. * issue = 36 (reverse QMV)
. * H3
. graph twoway scatter discr_com nbi if e(sample)==1 & issue_id==36 & debt_gdp>6.523,  mlabel(country) msize(tiny) mlabsize(tiny) mlabpos(12) title(H3)
{res}{txt}
{com}. * H1
. graph twoway scatter discr_com debt_gdp if e(sample)==1 & issue_id==36,  mlabel(country)  mlabsize(tiny) mlabpos(12) title(H1)
{res}{txt}
{com}. sort discr_com
{txt}
{com}. by discr_com : sum c.debt_gdp if e(sample)==1 & issue_id==36

{txt}{hline}
-> discr_com = Less

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         22    6.979091    3.933647        .97      15.96

{txt}{hline}
-> discr_com = Middle

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}          0

{txt}{hline}
-> discr_com = More

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}          5         6.4    1.837716       3.81       8.19

{txt}{hline}
-> discr_com = .

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}          0

{txt}
{com}. 
. * issue = 39 (Commission and ECJ)
. * H3
. graph twoway scatter discr_com nbi if e(sample)==1 & issue_id==39 & debt_gdp>6.523,  mlabel(country) msize(tiny) mlabsize(tiny) mlabpos(12) title(H3)
{res}{txt}
{com}. * H1
. graph twoway scatter discr_com debt_gdp if e(sample)==1 & issue_id==39,  mlabel(country) msize(tiny) mlabsize(tiny) mlabpos(12) title(H1)
{res}{txt}
{com}. sort discr_com
{txt}
{com}. by discr_com : sum c.debt_gdp if e(sample)==1 & issue_id==39

{txt}{hline}
-> discr_com = Less

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         10       8.171    2.349172       4.45      12.62

{txt}{hline}
-> discr_com = Middle

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}          0

{txt}{hline}
-> discr_com = More

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}          9    4.945556    3.601455        .97      12.34

{txt}{hline}
-> discr_com = .

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}          0

{txt}
{com}. 
. * comparing of debt_gdp ratio for governments preferring less, middle or more discretion
. sort discr_com
{txt}
{com}. by discr_com : sum c.debt_gdp if e(sample)==1

{txt}{hline}
-> discr_com = Less

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         82    6.972805    3.536029        .61      17.21

{txt}{hline}
-> discr_com = Middle

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}          1        8.07           .       8.07       8.07

{txt}{hline}
-> discr_com = More

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}         59    5.679661    3.429536        .45      17.21

{txt}{hline}
-> discr_com = .

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}debt_gdp {c |}{res}        297    6.561833    3.419318        .45      17.21

{txt}
{com}. 
. pause /* type q to continue */
{txt}pause:  
{com}-> . q
{txt}execution resumes...

{com}. 
. ***** Substantive effects: Commission Enforcement
. ** Effects of diffuse support (goodEU_net_6)
. margins, atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 3}.2952565 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5846155{col 26}{space 2} .1432918{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .3037687{col 67}{space 3} .8654623
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0081497{col 26}{space 2} .0076161{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.0067775{col 67}{space 3} .0230769
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4072348{col 26}{space 2} .1451403{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .1227651{col 67}{space 3} .6917044
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3005174{col 26}{space 2} .1164471{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0722852{col 67}{space 3} .5287495
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5241604{col 26}{space 2} .1474492{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .2351652{col 67}{space 3} .8131555
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1753223{col 26}{space 2}  .094422{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0097415{col 67}{space 3} .3603861
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1558587{col 26}{space 2} .0604907{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0372991{col 67}{space 3} .2744183
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2830136{col 26}{space 2} .1683604{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0469667{col 67}{space 3} .6129939
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5611277{col 26}{space 2} .1378466{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .2909533{col 67}{space 3} .8313021
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 58%, 0.8%, 41% - all predictors are set at their mean values.
. margins, at(goodEU_net_6=0.085) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       439
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Marginal predicted mean (1.discr_com), predict(pr outcome(discr_com 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Marginal predicted mean (2.discr_com), predict(pr outcome(discr_com 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Marginal predicted mean (3.discr_com), predict(pr outcome(discr_com 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Marginal predicted mean (1.discr_cou), predict(pr outcome(discr_cou 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Marginal predicted mean (2.discr_cou), predict(pr outcome(discr_cou 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._predict}:{space 1}{res:Marginal predicted mean (3.discr_cou), predict(pr outcome(discr_cou 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._predict}:{space 1}{res:Marginal predicted mean (1.discr_nat), predict(pr outcome(discr_nat 1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._predict}:{space 1}{res:Marginal predicted mean (2.discr_nat), predict(pr outcome(discr_nat 2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._predict}:{space 1}{res:Marginal predicted mean (3.discr_nat), predict(pr outcome(discr_nat 3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:debt_gdp}{space 8}{txt:=} {space 3}6.523472 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nbi}{space 13}{txt:=} {space 4}4.35949 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.eurozone}{space 6}{txt:=} {space 3}.3895216 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.eurozone}{space 6}{txt:=} {space 3}.6104784 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.crisis}{space 8}{txt:=} {space 3}.2164009 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.crisis}{space 8}{txt:=} {space 3}.7835991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.cou_pres}{space 6}{txt:=} {space 3}.9271071 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.cou_pres}{space 6}{txt:=} {space 3}.0728929 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_lr}{space 10}{txt:=} {space 3}5.715955 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gov_eu}{space 10}{txt:=} {space 3}5.616607 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:goodEU_net_6}{space 4}{txt:=} {space 7}.085}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.comm_s}{space 8}{txt:=} {space 3}.4920273 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.comm_s}{space 8}{txt:=} {space 3}.5079727 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7263367{col 26}{space 2} .1233605{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} .4845546{col 67}{space 3} .9681188
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0068608{col 26}{space 2} .0063157{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0055178{col 67}{space 3} .0192393
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2668025{col 26}{space 2} .1235698{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0246102{col 67}{space 3} .5089948
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3226651{col 26}{space 2} .1189066{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0896125{col 67}{space 3} .5557176
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5172668{col 26}{space 2} .1454578{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .2321747{col 67}{space 3} .8023589
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1600682{col 26}{space 2} .0919758{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0202011{col 67}{space 3} .3403375
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1938825{col 26}{space 2} .0850817{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .0271254{col 67}{space 3} .3606396
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3063547{col 26}{space 2} .1719312{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0306242{col 67}{space 3} .6433336
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4997628{col 26}{space 2} .1344315{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .2362819{col 67}{space 3} .7632438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * probability of discr_cou = less , middle, more is 73%, 0.7%, 27% - all predictors are set at their mean values.
. 
. * diffuse support among high and low noncompliance risk countries
. sort discr_com
{txt}
{com}. by discr_com: sum goodEU_net_6 if debt_gdp>6.513137

{txt}{hline}
-> discr_com = Less

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}         47    .2108463     .181872  -.1207066   .5404339

{txt}{hline}
-> discr_com = Middle

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}          1    .2115573           .   .2115573   .2115573

{txt}{hline}
-> discr_com = More

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}         22    .3097122    .1975241   .0088409    .650924

{txt}{hline}
-> discr_com = .

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}        143    .2586882    .2013754  -.1519757   .7116954

{txt}
{com}. by discr_com: sum goodEU_net_6 if debt_gdp<6.513137               

{txt}{hline}
-> discr_com = Less

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}         35    .2475059    .2180759  -.2641509   .6087825

{txt}{hline}
-> discr_com = Middle

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}          0

{txt}{hline}
-> discr_com = More

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}         37    .4140384    .1915329       .043   .8007968

{txt}{hline}
-> discr_com = .

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
goodEU_net_6 {c |}{res}        154    .3357665    .2132524  -.2641509   .8007968

{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Fabio Franchino\Dropbox\Project EU Fiscal Policy\2 Policy positions\Sent to EUP\second submission\final submission\Replication\Replication\log_gsem_FC2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 8 Apr 2021, 18:28:05
{txt}{.-}
{smcl}
{txt}{sf}{ul off}